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Nonparametric statistics of dynamic networks with distinguishable nodes
(Springer, 2017-09)
The study of random graphs and networks had an explosive development in the last couple of decades. Meanwhile, techniques for the statistical analysis of sequences of networks were less developed. In this paper, we focus ...
MFSRank: An unsupervised method to extract keyphrases using semantic information
(Scopus, 2011)
This paper presents an unsupervised graph-based method to extract keyphrases using semantic information. The proposed method has two stages. In the first one, we have extracted MFS (Maximal Frequent Sequences) and built ...
A Test of Hypotheses for Random Graph Distributions Built From EEG Data
(IEEE Computer Society, 2017-04)
The theory of random graphs has been applied in recent years to model neural interactions in the brain. While the probabilistic properties of random graphs has been extensively studied, the development of statistical ...
Problems Identified in Statistical Graphs published in the MediaProblemas identificados em gráficos estatísticos publicados nos meios de comunicação
(Universidade Federal do Pará, 2019)
Two critical localization lengths in the Anderson transition on random graphs
(American Physical Society, 2020-01)
We present a full description of the nonergodic properties of wave functions on random graphs without boundary in the localized and critical regimes of the Anderson transition. We find that they are characterized by two ...
Regularities in the automated construction of statistical graphs by engineering studentsRegularidades en la construcción automatizada de gráficos estadísticos por estudiantes de ingeniería
(Universidad Central "Marta Abreu" de Las Villas, 2022)